Demography最新文献

The transgender population is a critically underresearched population in the United States, owing to rare measures on national and state-level surveys that ask about sex and gender or transgender identification. Consequently, we know relatively less about the sociodemographic, socioeconomic, family, and health lives of gender minorities. In this research note, I use population-level data from the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System to provide a data portrait of cisgender, transgender, and gender-nonconforming populations on a range of sociodemographic (e.g., sexual identity, race and ethnicity), socioeconomic (e.g., education, homeownership), family (e.g., union status), and health (e.g., number of poor mental health days) characteristics. Results reveal that gender minorities are younger than cisgender men and cisgender women and are disproportionately sexual minorities and people of color. Gender minority groups also experience lower socioeconomic status, report drastically different family lives, and bear the burden of worse health compared with cisgender people. I conclude by contending that descriptive research of this nature can illuminate compositional differences between cisgender and gender minority populations, provide rationales for adjusting for certain characteristics, and highlight potential explanatory mechanisms to make better sense of well-established findings (e.g., the transgender health disadvantage).

The racial and ethnic diversification of the U.S. population has transformed the demographic makeup of communities and rapidly increased exposure to diversity in American neighborhoods. Although diversity exposure occurs throughout people's daily lives, the conventional approach to describing diversity only at places of residence potentially understates the full extent of this phenomenon. In this study, we explore short-term, within-day changes in the diversity of different neighborhoods by considering U.S. workers' work and residential locations. Using estimates for daytime and nighttime populations among metropolitan census tracts, our empirical analyses investigate the extent to which the process of daytime mobility for work relates to changes in the racial and ethnic diversity of different spaces. Our results indicate widespread daily shifts toward diversity for most neighborhood types, especially those with residential (nighttime) populations that are predominantly Black, Latino, or Asian. We find that patterns of intraday diversification experienced minor declines across recent decades but are present in most metropolitan areas. Our findings also show that intraday changes in racial and ethnic diversity overlap with nonracial forms of daily diversity change. Further, average within-day changes in diversity are more pronounced in areas with greater residential segregation.

Exposure to infectious diseases in early life has been linked to increased mortality risk in later life in high-disease settings, such as eighteenth- and nineteenth-century Europe. Less is known about the long-term effects of early-life disease exposure in milder disease environments. This study estimates heterogeneous effects from disease exposure in infancy on later-life mortality in twentieth-century Sweden, by socioeconomic status at birth and sex. Using historical population data for southern Sweden, we study 11,515 individuals who were born in 1905-1929 from age 1 until age 85. We measure exposure to disease using the local post-early neonatal mortality rate in the first 12 months after birth and apply flexible parametric survival models. For females, we find a negative effect on life expectancy (scarring) at ages 1-85 following high disease exposure in infancy, particularly for those born to unskilled workers. For males, we find no negative effect on later-life survival, likely because stronger mortality selection in infancy outweighs scarring. Thus, even as the incidence of infectious diseases declined at the start of the twentieth century, early-life disease exposure generated long-lasting negative but heterogeneous population health effects.